Forecasting the Diffusion of an Innovation Prior to Launch

Forecasting the Diffusion of an Innovation Prior to Launch

(Generated with the help of GPT-4)

Quick Facts
Report location: source
Language: English
Authors: Gabler, Sonke Albers Institute Of Innovation Research, Christian‐albrechts‐university At Kiel
Time horizon: 2004
Geographic focus: Global

Methods

The research method involves analyzing the diffusion of innovations before their launch, focusing on the Bass model and using descriptors like peak sales period and sales percentage to predict diffusion. The study compares different forecasting methods to determine the most accurate approach.

(Generated with the help of GPT-4)

Key Insights

Companies face a dilemma when introducing new products, needing to forecast the market's response. The Bass model is commonly used to predict the diffusion of innovations, focusing on innovators and imitators. Different methods, such as weighted averages and meta-analyses, are explored to forecast diffusion accurately.

(Generated with the help of GPT-4)

Additional Viewpoints

You could leave a comment if you were logged in.
Last modified: 2024/05/30 18:02 by elizabethherfel